Dr Aditya Khamparia

About

Dr. Aditya Khamparia has expertise in Teaching, Entrepreneurship, and Research & Development of 8 years. He is currently working as Assistant Professor and Coordinator of Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India. He received his Ph.D. degree from Lovely Professional University, Punjab in May 2018. He has completed his M. Tech. from VIT University and B. Tech. from RGPV, Bhopal. He has completed his PDF from UNIFOR, Brazil. He has around 95 research papers along with book chapters including more than 15 papers in SCI indexed Journals with cumulative impact factor of above 50 to his credit. Additionally, He has authored, edited and editing 5 books. Furthermore, he has served the research field as a Keynote Speaker/Session Chair/Reviewer/TPC member/ Guest Editor and many more positions in various conferences and journals. His research interest includes machine learning, deep learning, educational technologies, computer vision.

Employment

• Babasaheb Bhimrao Ambedkar University

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (53)

• A nobel approach to detect edge in digital image using fuzzy logic
  Advances in Intelligent Systems and Computing 2020 DOI: 10.1007/978-981-15-0029-9_6
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• A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images
  Applied Sciences 2020 DOI: 10.3390/app10020559
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• Seasonal Crops Disease Prediction and Classification Using Deep Convolutional Encoder Network
  Circuits, Systems, and Signal Processing 2020 DOI: 10.1007/s00034-019-01041-0
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• Multi-level framework for anomaly detection in social networking
  Library Hi Tech 2020 DOI: 10.1108/LHT-01-2019-0023
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• Modeling uncertainty of instrument and control system of nuclear power plant
  Annals of Nuclear Energy 2020 DOI: 10.1016/j.anucene.2019.107207
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• Internet of health things-driven deep learning system for detection and classification of cervical cells using transfer learning
  Journal of Supercomputing 2020 DOI: 10.1007/s11227-020-03159-4
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• Classification of plants using convolutional neural network
  Advances in Intelligent Systems and Computing 2020 DOI: 10.1007/978-981-15-0029-9_44
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• An intelligent hybrid approach for hepatitis disease diagnosis: Combining enhanced k-means clustering and improved ensemble learning
  Expert Systems 2020 DOI: 10.1111/exsy.12526
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• An improved and adaptive approach in ANFIS to predict knee diseases
  International Journal of Healthcare Information Systems and Informatics 2020 DOI: 10.4018/IJHISI.2020040102
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• An Integrated Hybrid CNN–RNN Model for Visual Description and Generation of Captions
  Circuits, Systems, and Signal Processing 2020 DOI: 10.1007/s00034-019-01306-8
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